Frequently asked questions and answers for suppliers and manufacturers publishing data for the Child Nutrition Database.
This information is for manufacturers submitting food product information within GS1 Global Data Synchronization Network (GS1 GDSN®) for products to be included in the USDA Child Nutrition Database (CNDB).
This decision tree assists industry K-12 product manufacturers on how to publish their product data to the Child Nutrition Database and the USDA Foods Database.
To help schools deal with supply chain challenges brought on by the pandemic, USDA is providing up to: $1 billion in Supply Chain Assistance funds for schools to purchase food for their meal programs, $300 million for states to purchase USDA Foods to distribute to schools, and $200 million for cooperative agreements to purchase local foods for schools, focusing on historically underused producers.
USDA Foods in Schools product information sheets containing USDA Foods description and WBSCM ID for grains.
This fact sheet summarizes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to estimate the cost of producing reimbursable school meals. The methods were based on approaches used in prior USDA studies.
This fact sheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data on students’ dietary intakes.
This fact sheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to examine nutritional characteristics of school meals.
This factsheet describes the methods used in the School Nutrition and Meal Cost Study (SNMCS) to collect, process, and analyze data to assess plate waste in the school meal programs.
The School Nutrition and Meal Cost Study was a comprehensive study of the school meal programs. This fact sheet provides an overview of the design and implementation of the SNMCS, including the research objectives, sample design, data collection approach, and response rates.